This Data Operations Analyst is responsible for data input validation and data cleaning focusing on specific industry/category or set of categories (e.g., Beverages, Food, Health and Beauty Products). As a Data Operations Analyst at NielsenIQ, you support the create and deliver client output deliveries in a correct and timely manner.

• Be the contact for commercial queries, leading the resolution in a client-focused and timely manner in cooperation with Client Liaison and Commercial teams. To be able to identify, investigate and coordinate the resolution of data, process or product related queries
• Plan and execute a complex daily personal workload and support to meet departmental and company schedules
• Analyze and identify gaps and areas for improvement in coding, data input validation and client instructions environments (CIP - Consumer Information Platform) and drive the convergence of processes and tools
• Providing accurate and timely feedback to respective country teams, driving SOP and use of best-demonstrated practices
• Working across relevant Operations/Enablement teams to ensure delivery to client expectations and satisfaction
• Operate in a virtual/multi-cultural environment, liaising with stakeholders 

The Logistics Center of Excellence (COE) is the global hub driving logistics process excellence and digital transformation. The team focuses on process optimization, digital enablement, and advanced analytics to support data‑driven decision‑making across the logistics organization.

This role plays a key individual‑contributor and technical leadership role in delivering BI and AI solutions. You will work closely with logistics business stakeholders to identify requirements, design and develop BI/AI solutions, and lead capability building within the COE team.

ESSENTIAL DUTIES AND RESPONSIBILITIES: 

• Act as an independent BI/AI partner to logistics business teams, understanding requirements and proactively proposing data, BI, and AI solutions to address business needs.
• Design, develop, and maintain BI and AI solutions using Power BI and approved company AI and analytics platforms.
• Translate business problems into analytical models, dashboards, and insights that support operational and strategic decision‑making.
• Own end‑to‑end delivery of digital tasks, including requirement clarification, solution development, testing, deployment, and post‑deployment support.
• Communicate effectively with business stakeholders to track progress, provide status updates, and manage expectations throughout the project lifecycle.
• Provide technical leadership in BI/AI within the Logistics COE, including knowledge sharing, best practices, and hands‑on training for team members.
• Support broader logistics digital transformation initiatives and complete additional assignments as directed by the supervisor.

You will...
• Ensures the data integrity during data processing.
• Verify the accuracy and validity of data processed.
• Resolve and check any quality issues raised by supervisors/clients.
• Maintain positive working relationships and open communication with local, regional and global colleagues.
• Continually innovate, develop and suggest enhancements to gain better work efficiency
• Ensure that the company’s regional and global standards are always adhered to all the times.

You have...
● Diploma or Degree in any other related fields.
● Proficiency in MS Word, MS Excel, and MS PowerPoint Ability to work independently with the ability to prioritize and multi-task; able to think rationally under pressure.
● Fresh graduates are encouraged to apply.

Role Summary

A leading project management and construction delivery organisation is seeking an experienced Contract Administrator to support its project teams. This role is ideal for a senior professional who excels in contract interpretation, claims management, documentation, and stakeholder coordination—ensuring projects run smoothly and fully comply with contractual obligations.

Key Responsibilities

Contract Administration & Daily Project Support

• Manage the day‑to‑day contractual administration of assigned projects, ensuring all contractual and claim‑related events are monitored, documented, and escalated when necessary.
• Provide early identification of potential risks and opportunities, recommending proactive measures to the project team.
• Interpret contract terms and work closely with project managers, site teams, and legal representatives when contractual issues arise.

Correspondence & Documentation

• Review, log, track, and manage all incoming and outgoing project correspondence.
• Draft contractual letters, coordinate reviews with project management and senior stakeholders, and ensure timely issuance.
• Support the setup and oversight of document control systems.
• Maintain comprehensive records including correspondence, meeting minutes, photos, and other relevant documents.

Meetings & Stakeholder Engagement

• Participate in internal project status meetings, providing updates on claims, risks, and contractual matters.
• Attend and support client, consortium, supplier, and technical meetings when required.
• Review minutes of meetings to ensure accuracy and proper documentation.
• Assist in organising workshops to enhance claim and change management awareness among project team members.

Reporting

• Support project reporting requirements by contributing contractual insights and documentation.
• Prepare monthly reports for senior management detailing Notices of Claim, active claims, change orders, key correspondence, and significant upcoming events.

Claims Management

• Manage both incoming and outgoing claims throughout the project lifecycle.
• For incoming claims: verify entitlement, collect supporting records, assess risks, and develop defensive strategies with the project team.
• For outgoing claims: prepare claim notifications, compile substantiation, draft formal claim submissions, and support negotiation processes.
• Ensure all claims are handled in accordance with contractual deadlines and requirements.

Dispute Resolution

• Assist senior management and legal teams with dispute resolution processes, including document preparation and detailed investigation of contractual issues.

Project Acceptance & Closeout

• Support the process of obtaining acceptance certificates and verifying that contractual deliverables have been fulfilled.
• Ensure all contract administration records are properly archived after project completion.

Job description

The data analyst will play a key role in defining, creating, and delivering powerful interactions data for a substantial part of our business and will partner closely with multiple business partners to provide data and insights to drive operational improvements. This is a critical role that will enable and support our global data and business intelligence strategy. The data analyst will be able to embrace and drive change and to lead global cross-functional data-related projects as well as being data savvy, technically minded and capable of quickly gaining a deep knowledge and understanding of Experian’s wide-ranging systems landscape as well as continually evolving complex data hierarchies, reporting structures and business intelligence requirements and priorities.

ABOUT US:

PolicyStreet Group is a full-stack insurance technology (insurtech) group of companies providing digital insurance solutions to businesses and consumers across Asia and Australia.

The Group operates through multiple entities across its key markets and business lines, including its insurance distribution, embedded insurance, and reinsurance arms. It partners with over 40 insurance and takaful providers globally to deliver employee benefits and group insurance solutions, insurance aggregation services, and digital infrastructure that simplifies insurance.

PolicyStreet Group is backed by leading venture capital firms Altara Ventures and Gobi Partners, as well as sovereign wealth funds Khazanah Nasional Berhad and Cool Japan Fund. The Group serves over 10 million customers with more than US$10 billion in sum insured. It was featured in the Financial Times and Statista’s Top 500 High-Growth Companies Asia-Pacific 2026 list and named “Most Disruptive Insurtech in Malaysia” at the Insurance Asia News (IAN) Country Awards for Excellence 2025.

WHAT YOU’LL DO:

• Handle insurance policy issuance, including generating accurate quotations and preparing cover notes within set timelines.
• Work closely with customers to gather required documents and ensure a seamless policy issuance process.
• Carefully review documents and cover notes for accuracy and completeness, enabling timely policy activation.
• Coordinate with insurance providers to follow up on pending approvals and ensure smooth processing.
• Manage customer accounts, addressing inquiries and maintaining satisfaction with our products and services.
• Contribute to team efforts by meeting sales and renewal targets.

WHAT WE EXPECT OF YOU:

• Minimum diploma in business, communications, or a related field.
• At least 2 years of experience in a customer service role, preferably handling email and WhatsApp communications.
• Proven hands-on experience in insurance issuance is a must.
• Experience in the insurance industry is a strong advantage.
• Strong attention to detail and excellent organizational skills.
• A customer-focused mindset with strong communication and problem-solving abilities.
• Self-reliance and adaptability to handle responsibilities independently.
• Leadership potential and a desire to grow into a people management role.

• Own Data Science solutions for client requests and provide initial recommendations for complex client raised issues.   

• Support Internal and External Clients with the understanding of Data Science design and methodology.  

• Accompany senior leaders meet with clients to understand business needs and help offer innovative solutions.  

• Work on creating innovative solutions, use cases, proof of concept and prototypes by exploring diverse data sets using tools such as Python.  

• Understand Nielsen products and services to suggest innovative solutions for client challenges.  

• Collaborate with other Data Science team units.  

•  Automate and develop solutions for existing processes.  

•  Innovate and create out of the box solutions by leveraging large and diverse data sets and state of the art technologies. 

About you  

You have dabbled in data. You have perused Python. And you have the communication chops to translate it all into conversation or presentations. While you have worked with global cross-functional teams, you can also put your head down and focus on independent projects. Seeing the big picture takes attention to detail. You know what is happening in big data and you are ready to influence what is next.  

Jacobs Douwe Egberts Research and Development (R&D) is part of the Global JDE organization. R&D is the major contributor to the development of innovative coffee, tea, cereal and NDC products and is constantly optimizing the product portfolio. Focus of R&D is on building technology platforms, new products, portfolio renovations and productivity initiatives. Projects are carried out together with Marketing, Operations and Procurement delivering Product and Packaging Specifications which are the single most critical output of R&D.

The PLM Specialist reports into the PLM Team Lead. They are responsible for maintenance of an effective and efficient specification system for product lifecycle management. They support the R&D team in their work developing new specifications. They are a data custodian and thanks to their actions the PLM system is trustworthy and data contained therein is a strategic R&D asset. This individual is responsible for part of the total portfolio and is expected to become the subject-matter expert for their area of the PLM system.

• Typical project portfolio: Multiple activities across all aspects of the Product / Pack portfolio
• Financial risk: Moderate – Role responsible for maintenance not creation of new specification data. Technical rigour is however critical to ensure data integrity and security.
• Geographical Scope: varies

The PLM Specialist is part of the team responsible for the maintenance of the PLM system within APAC and will support the implementation of the new PLM Software. You will be responsible for assuring quality and trust in the data and be the first point of contact for data-related questions in your field. You will work closely with R&D developers and PLM users to maintain PLM data flow throughout the specification lifecycle, enrich data, provide feedback to users and drivesystem improvement. You are the PLM data custodian, and thanks to your action, the PLM system is trustworthy and data used as a strategic R&D asset.

This requires technical rigor, attention to detail and a relentless drive for completion with excellence. This role plays a critical role in the maintenance, protection and utilisation of a critical R&D asset (our recipe know-how and IP). This role is responsible for ensuring compliance with company policies and procedures related to specifications, leveraging best in class practices throughout all R&D activities and helping to support speed to market.

• Support the implementation of the new PLM Software, user acceptance test and user support

• Ensure successful migration of the data into the new PLM software: migration, validation, completeness

• Collaborate with specification creators within your area of responsibility, to guarantee the completeness and accuracy of product data until product retirement

• Ensure the maintenance of the product data (new data entry, parameter updates, new requirements)

• Monitor data quality periodically, raise gaps and coordinate issue resolution

• With guidance from manager, drive PLM system continuous improvement (design, workflow, data quality)

• Support PLM users about data extraction and reporting

• Act as data custodian and make PLM the system loved by the users and fun

• Communicate and support best practice PLM completion with APAC applications teams for all categorie

• Reports to Manager on a weekly basis highlighting risks/issues and resolution plans

• Other tasks/duties as assigned by the Manager

The Reference Data Specialist (RD PH) is responsible for instructions of client deliverables, coding and data input validation focusing on specific industry/category or set of categories (e.g. Beverages, Food, Health and Beauty Products). As a Reference Data Specialist  at NielsenIQ, you create and deliver client outputs in a correct and timely manner.

• Responsible for instructions of client deliverables, coding and data input validation focusing on specific industry/category or set of categories.
• Does cross coding and item-related quality checks on a daily basis
• May act as a back-up to other coders when needed; conduct physical store check to validate item-related information
• Keep track/document special instructions related to category assignment
• Plan and execute a complex daily personal workload and support to meet departmental and company schedules
• Ensure accuracy throughout the process, from validation before database setup to managing samples, and identify areas for improvement
• Answer external questions and act as a liaison with everyone from clients to stakeholders; To be able to identify, investigate and coordinate the resolution of data, process, or product related queries
• Willing to be trained to be a category expert

This role covers the activities post inputs are received from the source - retailers/vendors. Primary focus is to be the bridge between the Supplier Engagement team and other Ops pillars. System changes surveys, BAU query resolution, MSD tickets tracking and closure, KPIs reporting, productivity initiatives, RCAs are the key areas of work for this team. Apart from this, the team is also responsible to analyze, classify and management of the data. This role is accountable for handling data queries arising from BAU quality checks (RAP & DQI scoring).

Job Responsibilities

Retailer Onboarding and Engagement:

• Collaborate with the Supplier Engagement Lead on retailer onboarding.
• Ensure compliance for received data by working closely with retailers and NielsenIQ teams.
• Track retailer or vendor data quality and conduct regular reviews with internal stakeholders and retailers.
• Drive specific quality improvement goals for retailers, including change management related to data receipt.
• Handle large data sets with exposure to multiple formats and TLog data.
• Understanding of SAP, transactional data handling, FTP, and MFT setup and maintenance.
•  Ability to extract, transform, load, and clean large data sets from multiple sources.
• Familiarity with managing, querying, and aggregating large data sets.

System Change and Data Corrections:

• Plan and follow up on operational activities.
• Address data corrections due to MSD or other data errors through retailer discussions and planning with Ops.
• Track and resolve MSD tickets.
• Collaborate with INS team on results of eDive for System change.

Stakeholder Management & BAU Collaboration and Communication:

• Act as the internal SPOC for Ops and regional leadership teams.
• Provide updates on KPIs, market progress on retailer onboarding, BAU KPIs, and productivity initiatives. (internal SPOC for Ops)
• Communicate with internal and external stakeholders to resolve data issues.
• Provide timely updates and visibility to stakeholders.
• Contact data providers via email if data has not been received as per SLAs.
• Communicate with data providers on any discrepancies found in initial data checks, FoVa reports, shop usability, or other factory processes.
• Handle new store information and confirmation on store closures.
• Address new stores and closed store queries.
• Coordinate with Input Ops and Output for processing reissued data.
• Send relevant IO communications (internal) regarding new/closed stores, missing retailer data, estimation of retailer data, reissue of retailer data, store name changes, store mapping corrections, retailer expansion, and retailer data changes during BAU.

Quality Assurance:

• Conduct quality checks, including eDive primary testing of data, and RAP scoring, eDive.
• Address data queries arising from quality checks.

Opportunity Identification:

• Identify new operational efficient opportunities within existing retailers.
• Ops teams (NOC), and DA Analysts to realize these opportunities, consulting closely with the commercial or RV team as applicable.

Job Summary

• Perform day-to-day general administration and clerical tasks.
• Preparing and updating Receiving / Shipping / Warehouse Documentation.
• Close loop to ensure all documentation activity are completed on timely manner.
• To maintain and upkeep documentation with proper filling/archiving.
• Maintain good housekeeping and 7S at work place.
• To cover/backup any team member on day to day tasks during the absence of other team members.
• Support audit or ad-hoc activity upon request
• Monitoring office supplies and reporting on stock levels.
• Liaise with external parties for external related matters.
• Support other duties, ad-hoc or/and special tasks assigned by the immediate superior from time to time.

Job Scope

• Customer Order Fulfillment.
• Shipping/Container arrangement to maximize plant revenue.
• Interact with cross-functional team within plant and Bosch – Customer Planning Team, Planners, PJM etc.
• Liaise with external parties for all plant shipment – Logistics Services Providers, Liners, etc

This role is based in our Menara Skymind office.

Position Overview

We are seeking a detail-oriented Data Governance Analyst to join Omdia's Data Architecture & Engineering team, supporting the implementation and maintenance of data governance standards across our market research and industry analysis data. This role offers an excellent opportunity to contribute to Omdia's data centralization initiative while developing expertise in enterprise data governance.

Key Responsibilities

Data Governance Implementation

• Support the implementation of data governance frameworks and best practices across Omdia's market data sources
• Assist in developing and maintaining data taxonomy standards, ensuring consistency across research content workflows
• Contribute to data quality monitoring processes, identifying issues and supporting remediation efforts
• Help establish and document data lineage tracking for critical market research datasets

Data Quality & Standards

• Perform regular data quality assessments across market and industry data sources
• Document data governance procedures, standards, and best practices for team and stakeholder reference
• Support metadata management initiatives, ensuring accurate and comprehensive data documentation
• Assist in the development of data stewardship protocols and compliance monitoring

Analysis & Reporting

• Analyze data governance metrics and prepare regular reports on data quality, compliance, and governance maturity
• Support stakeholder requests for data lineage, quality assessments, and governance documentation
• Contribute to the evaluation of new data sources and their integration into existing governance frameworks
• Assist in vendor data assessment and compliance verification processes

Collaboration & Support

• Work closely with Data Governance Manager and Data Management Analyst to deliver team objectives
• Collaborate with research teams to understand data requirements and governance needs
• Support training initiatives to promote data governance awareness across the organization
• Participate in cross-functional projects related to data platform development and content workflow optimization

As a Senior Data Analyst you will leverage your expertise to directly impact the performance and reporting for our 10 markets in the APAC region. You will act as a high-level advisor to the local markets, leveraging deep-dive analytics and AI-tools to steer country performance. This isn't about building reports, it’s about translating complex data into strategic roadmaps. You will bridge the gap between technical data analytics and executive decision-making, ensuring our global footprint is optimized for growth and efficiency.

This high-impact role requires a self-starter who is capable of effectively balancing trade-offs between speedy delivery and long-term investments in strategic data assets in order to enhance growth, efficiency, and competitive advantage across multiple markets.
 

Responsibilities:

• Strategic Market Advisory: Act as the primary consultant for 10 international markets, conducting deep-dive analyses into country performance to identify growth levers and operational gaps.
• Advanced Data Modeling & Analysis: Lead the development of complex SQL models to transform large datasets into scalable reports and actionable insights, using tools like BigQuery and dbt. Leveraging critical thinking in questioning existing solutions, and high ownership in developing new ones. Championing high standards in communication and deliverables.
• Next-Gen Data Solutions: Move beyond traditional BI by integrating LLMs and agentic workflows into our reporting suite, transforming static data into interactive, conversational business intelligence.
• Functional Knowledge and Business Acumen: Quickly develop an excellent understanding of the business and its key processes, strategic levers and KPIs
• Stakeholder Collaboration & Data Advocacy: Partner with senior business leaders to co-define key metrics, identify process optimization opportunities, and translate analytical findings into actionable insights. Being a strong advocate for building strategic analytical partnerships, as opposed to just providing data.
• Transparency & Backlog Management: Maintain clear visibility into the team’s project backlog, providing regular updates and insights to stakeholders. Actively seek and incorporate feedback to continuously improve analytics processes and outputs.
• Mentorship & Development: Provide guidance and mentorship to junior analysts, enhancing their technical skills and fostering a collaborative team environment.
• Data & Reporting Consistency: Balance speed and adherence to SLAs with a commitment to data consistency, avoiding redundant work and ensuring alignment with the organization’s ethos of a single source of truth and standardized processes for financial and other reporting.
• Rigorous Standards in Data Quality: Establish, provide ongoing evaluations, and make strategic recommendations on future enhancements in data accuracy, validity, and velocity, both of analytics outputs created internally, and of our portfolio of category position solutions provided by external partners.

Find out more about our Data Analytics folks here: 

• Turn insights into impact!
• Looking for a career in data analytics? This could be the opportunity for you!

We are seeking a dynamic Regulatory Data Analyst (1-Year Contract) to be part of our mission to drive impactful decisions across our 16 markets. Working within our Analytics team, you'll support the team by providing high-quality regulatory data operations support and collaborating with internal teams to assist in decision-making. This is a foundational role offering the opportunity to grow technical skills and learn from experienced data professionals.

• Data Preparation & Ad Hoc Analysis: Manage and validate regulatory data requests from regulatory bodies, and courts. Ensure accurate and timely submission of information in accordance with specified deadlines.
• Cross-Functional Collaboration: Partner with legal and technical teams to maintain data integrity and uphold internal data quality standards.

Find out more about our Data Analytics folks here: 

• Turn insights into impact!
• Looking for a career in data analytics? This could be the opportunity for you!

Join SEEK's Data Enablement function as a Data Enablement Lead. You will unlock the value of SEEK's data by improving how it is discovered, understood, and used across the organisation. Reporting to the Head of Data Enablement, you will translate strategy into execution, working across product, engineering, and business teams to enable self-serve analytics, trusted data foundations, and AI-driven use cases. Your focus: drive adoption, improve data usability, and enable confident decision-making and innovation.

The Role

• Drive execution of SEEK's Data Enablement strategy into measurable initiatives
• Shape solutions that improve data discoverability, usability, and trust
• Design capabilities like data discovery tools, metadata frameworks, semantic layers, and glossaries
• Strengthen data ownership, stewardship, and "data as a product" practices with domain teams
• Identify and prioritise opportunities to improve data health, accessibility, and user experience
• Support adoption of metadata, quality, and lifecycle controls with governance partners
• Drive data literacy by uplifting skills across analyst and product communities
• Lead through influence in a federated model, aligning stakeholders and driving change

Your work enables faster, safer, more effective use of data across SEEK — powering decision-making and next-gen AI.

At Continental Tires we want to make analytical excellence an integral part of all processes that have impact on leveraging business value. In cooperation with our domain experts from the Business units we identify business problems which can be supported and solved by using methods from Advanced Analytics and Artificial Intelligence. Only with data insights we will be able to adapt to changes and mitigate risks in a constantly changing economy.

As Data Scientist you will work in a global team of experts delivering Data Science products and know-how to diverse areas all over the tire business. Our Data Science Hub in Portugal will be integral part of this team.

Responsibilities

• Be integral part of projects in an area of specialization like Sales, Marketing or Supply Chain Management.
• Work on our Sales and Marketing data to create forecasts, customer insights and connect the dots that others don’t see.
• Work with domain experts to understand their problems and solve them with data.
• Be a partner in connecting the necessary experts from business and IT to solve problems.
• Get involved into different tasks at once and involve yourself with our team to get the support you need.
• Support in shaping the processes and organization to leverage the business value Data Science can bring to our enterprise.

• Develop, implement, and maintain comprehensive HSE programs and policies tailored to high voltage substation construction activities.
• Ensure project is in compliance with relevant local and national health, safety, and environmental regulations, as well as the company standards and policies.
• To provide the best practice HSE solution on day-to-day monitor and report to maintain high HSE standards in the field.
• Conduct regular risk assessments and job hazard analyses to identify potential hazards and implement appropriate control measures.
• Conduct regular site inspections and audits to monitor compliance with HSE standards. Identify areas for improvement and implement corrective actions.
• to monitor and review the implementation of HSE standard at the high voltage substation construction site.
• Ensuring project meeting that we chair starts with a Health & Safety moment which we initiate through our dedicated Health, Safety, Wellbeing App
• Ensuring all employees, contractors, subcontractors and vendors on site have a requisite level of compliant safety training resulting in them having knowledge of high degree of hazard awareness.
• Adopting a collaborative approach to health and safety across the entire project team promoting safety accountability at all levels, including from the client and owner.
• Setting a zero-tolerance health and safety culture.
• Adopting health and safety assurance process emphasizes leading indicators, which are effective in the developing mitigations to risks on the project site
• Proactively undertaking site supervision of works activities to address safety concerns or identified risk activities.

You will...
• Ensures the data integrity during data processing.
• Verify the accuracy and validity of data processed.
• Resolve and check any quality issues raised by supervisors/clients.
• Maintain positive working relationships and open communication with local, regional and global colleagues.
• Continually innovate, develop and suggest enhancements to gain better work efficiency
• Ensure that the company’s regional and global standards are always adhered to all the times.

You have...
● Diploma or Degree in any other related fields.
● Proficiency in MS Word, MS Excel, and MS PowerPoint Ability to work independently with the ability to prioritize and multi-task; able to think rationally under pressure.
● Fresh graduates are encouraged to apply.

We are looking for a skilled Data Engineer with strong experience in cloud platforms like Amazon Web Services and Microsoft Azure. The candidate will be responsible for building scalable data pipelines, managing large datasets, and supporting analytics and reporting systems.

As a Senior Data Scientist, you will play a key role in developing end-to-end analytic solutions, shaping data and algorithms to deliver accurate and robust Predictive and Prescriptive Analytics. At NIQ, we’re looking for someone to join our Tech & Durable Global Data Science team, working at the intersection of business, data science and engineering to transform business problems into robust, production-ready Data Science solutions.

Your Mission:

• Build scalable, production-ready data science solutions that enable the use of or directly utilize NIQ's Tech & Durable Point-of-Sale data.
• Collaborate cross-functionally with product managers, engineers, designers and business stakeholders to translate complex problems into actionable insights.
• Contribute to the evolution of our data science ecosystem through innovation, mentorship, and thought leadership.

Responsibilities:

• Perform research to drive the development of product focused Data Science solutions for our T&D business.
• Build, fine-tune and deploy state-of-the-art neural networks for Extreme Multilabel Classification problems.
• Ensure documentation, reproducibility and quality of code.
• Collaborate with MLEs and SREs to deploy models in live production pipeline
• Foster Data Science related knowledge exchange within NIQ (e.g. Lunch & Learns, Communities of Practice).
• Mentor and guide junior team members and working students, serving as a methodological expert and role model.

As a Senior Data Scientist, you will play a key role in developing end-to-end analytic solutions, shaping data and algorithms to deliver accurate and robust Predictive and Prescriptive Analytics. At NIQ, we’re looking for someone to join our Tech & Durable Global Data Science team, working at the intersection of business, data science and engineering to transform business problems into robust, production-ready Data Science solutions.

Your Mission:

• Build scalable, production-ready data science solutions that enable the use of or directly utilize NIQ's Tech & Durable Point-of-Sale data.
• Collaborate cross-functionally with product managers, engineers, designers and business stakeholders to translate complex problems into actionable insights.
• Contribute to the evolution of our data science ecosystem through innovation, mentorship, and thought leadership.

Responsibilities:

• Perform research to drive the development of product focused Data Science solutions for our T&D business.
• Build, fine-tune and deploy state-of-the-art neural networks for Extreme Multilabel Classification problems.
• Ensure documentation, reproducibility and quality of code.
• Collaborate with MLEs and SREs to deploy models in live production pipeline
• Foster Data Science related knowledge exchange within NIQ (e.g. Lunch & Learns, Communities of Practice).
• Mentor and guide junior team members and working students, serving as a methodological expert and role model.

As a Senior Data Scientist, you will play a key role in developing end-to-end analytic solutions, shaping data and algorithms to deliver accurate and robust Predictive and Prescriptive Analytics. At NIQ, we’re looking for someone to join our Tech & Durable Global Data Science team, working at the intersection of business, data science and engineering to transform business problems into robust, production-ready Data Science solutions.

Your Mission:

• Build scalable, production-ready data science solutions that enable the use of or directly utilize NIQ's Tech & Durable Point-of-Sale data.
• Collaborate cross-functionally with product managers, engineers, designers and business stakeholders to translate complex problems into actionable insights.
• Contribute to the evolution of our data science ecosystem through innovation, mentorship, and thought leadership.

Responsibilities:

• Perform research to drive the development of product focused Data Science solutions for our T&D business.
• Build, fine-tune and deploy state-of-the-art neural networks for Extreme Multilabel Classification problems.
• Ensure documentation, reproducibility and quality of code.
• Collaborate with MLEs and SREs to deploy models in live production pipeline
• Foster Data Science related knowledge exchange within NIQ (e.g. Lunch & Learns, Communities of Practice).
• Mentor and guide junior team members and working students, serving as a methodological expert and role model.

As a Senior Data Scientist, you will play a key role in developing end-to-end analytic solutions, shaping data and algorithms to deliver accurate and robust Predictive and Prescriptive Analytics. At NIQ, we’re looking for someone to join our Tech & Durable Global Data Science team, working at the intersection of business, data science and engineering to transform business problems into robust, production-ready Data Science solutions.

Your Mission:

• Build scalable, production-ready data science solutions that enable the use of or directly utilize NIQ's Tech & Durable Point-of-Sale data.
• Collaborate cross-functionally with product managers, engineers, designers and business stakeholders to translate complex problems into actionable insights.
• Contribute to the evolution of our data science ecosystem through innovation, mentorship, and thought leadership.

Responsibilities:

• Perform research to drive the development of product focused Data Science solutions for our T&D business.
• Build, fine-tune and deploy state-of-the-art neural networks for Extreme Multilabel Classification problems.
• Ensure documentation, reproducibility and quality of code.
• Collaborate with MLEs and SREs to deploy models in live production pipeline
• Foster Data Science related knowledge exchange within NIQ (e.g. Lunch & Learns, Communities of Practice).
• Mentor and guide junior team members and working students, serving as a methodological expert and role model.

As a Senior Data Scientist, you will play a key role in developing end-to-end analytic solutions, shaping data and algorithms to deliver accurate and robust Predictive and Prescriptive Analytics. At NIQ, we’re looking for someone to join our Tech & Durable Global Data Science team, working at the intersection of business, data science and engineering to transform business problems into robust, production-ready Data Science solutions.

Your Mission:

• Build scalable, production-ready data science solutions that enable the use of or directly utilize NIQ's Tech & Durable Point-of-Sale data.
• Collaborate cross-functionally with product managers, engineers, designers and business stakeholders to translate complex problems into actionable insights.
• Contribute to the evolution of our data science ecosystem through innovation, mentorship, and thought leadership.

Responsibilities:

• Perform research to drive the development of product focused Data Science solutions for our T&D business.
• Build, fine-tune and deploy state-of-the-art neural networks for Extreme Multilabel Classification problems.
• Ensure documentation, reproducibility and quality of code.
• Collaborate with MLEs and SREs to deploy models in live production pipeline
• Foster Data Science related knowledge exchange within NIQ (e.g. Lunch & Learns, Communities of Practice).
• Mentor and guide junior team members and working students, serving as a methodological expert and role model.

As a Senior Data Scientist, you will play a key role in developing end-to-end analytic solutions, shaping data and algorithms to deliver accurate and robust Predictive and Prescriptive Analytics. At NIQ, we’re looking for someone to join our Tech & Durable Global Data Science team, working at the intersection of business, data science and engineering to transform business problems into robust, production-ready Data Science solutions.

Your Mission:

• Build scalable, production-ready data science solutions that enable the use of or directly utilize NIQ's Tech & Durable Point-of-Sale data.
• Collaborate cross-functionally with product managers, engineers, designers and business stakeholders to translate complex problems into actionable insights.
• Contribute to the evolution of our data science ecosystem through innovation, mentorship, and thought leadership.

Responsibilities:

• Perform research to drive the development of product focused Data Science solutions for our T&D business.
• Build, fine-tune and deploy state-of-the-art neural networks for Extreme Multilabel Classification problems.
• Ensure documentation, reproducibility and quality of code.
• Collaborate with MLEs and SREs to deploy models in live production pipeline
• Foster Data Science related knowledge exchange within NIQ (e.g. Lunch & Learns, Communities of Practice).
• Mentor and guide junior team members and working students, serving as a methodological expert and role model.